| Pipeline: DNABERT-2 | Protocol: Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Dataset subset: HMPD-source Gene-MTEB data used in METAGENE-1 Table 3 (Gene-MTEB genomic embedding benchmark split) | 0.451 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT-2 on Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Frozen model last-hidden-state embeddings, mean pooled. Logistic regression for eight classification tasks and mini-batch k-means for eight clustering tasks. Source paper Section 5.3. Current official gene-mteb implementation corroborates task identities but its commit is not proven identical to the paper evaluator. Exact dataset release, split hash, scored counts and evaluator commit are unreported in the paper. Do not substitute current mutable HF main for the original split. Aggregation: Not reported METAGENE-1 v1: Gene-MTEB complete component tasks · Table 3 (S5.T3), row HMPD-source, column DNABERT-2; Section 5.3 paragraphs S5.SS3.p2.1 and S5.SS3.p3.1 |
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| Pipeline: DNABERT-S | Protocol: Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Dataset subset: HMPD-source Gene-MTEB data used in METAGENE-1 Table 3 (Gene-MTEB genomic embedding benchmark split) | 0.465 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDNABERT-S on Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Frozen model last-hidden-state embeddings, mean pooled. Logistic regression for eight classification tasks and mini-batch k-means for eight clustering tasks. Source paper Section 5.3. Current official gene-mteb implementation corroborates task identities but its commit is not proven identical to the paper evaluator. Exact dataset release, split hash, scored counts and evaluator commit are unreported in the paper. Do not substitute current mutable HF main for the original split. Aggregation: Not reported METAGENE-1 v1: Gene-MTEB complete component tasks · Table 3 (S5.T3), row HMPD-source, column DNABERT-S; Section 5.3 paragraphs S5.SS3.p2.1 and S5.SS3.p3.1 |
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| Pipeline: METAGENE-1 | Protocol: Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Dataset subset: HMPD-source Gene-MTEB data used in METAGENE-1 Table 3 (Gene-MTEB genomic embedding benchmark split) | 0.526 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMETAGENE-1 on Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Frozen model last-hidden-state embeddings, mean pooled. Logistic regression for eight classification tasks and mini-batch k-means for eight clustering tasks. Source paper Section 5.3. Current official gene-mteb implementation corroborates task identities but its commit is not proven identical to the paper evaluator. Exact dataset release, split hash, scored counts and evaluator commit are unreported in the paper. Do not substitute current mutable HF main for the original split. Aggregation: Not reported METAGENE-1 v1: Gene-MTEB complete component tasks · Table 3 (S5.T3), row HMPD-source, column METAGENE-1; Section 5.3 paragraphs S5.SS3.p2.1 and S5.SS3.p3.1 |
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| Pipeline: NT-2.5b-1000g | Protocol: Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Dataset subset: HMPD-source Gene-MTEB data used in METAGENE-1 Table 3 (Gene-MTEB genomic embedding benchmark split) | 0.545 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-2.5b-1000g on Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Frozen model last-hidden-state embeddings, mean pooled. Logistic regression for eight classification tasks and mini-batch k-means for eight clustering tasks. Source paper Section 5.3. Current official gene-mteb implementation corroborates task identities but its commit is not proven identical to the paper evaluator. Exact dataset release, split hash, scored counts and evaluator commit are unreported in the paper. Do not substitute current mutable HF main for the original split. Aggregation: Not reported METAGENE-1 v1: Gene-MTEB complete component tasks · Table 3 (S5.T3), row HMPD-source, column NT-2.5b-1000g; Section 5.3 paragraphs S5.SS3.p2.1 and S5.SS3.p3.1 |
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| Pipeline: NT-2.5b-Multi | Protocol: Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Dataset subset: HMPD-source Gene-MTEB data used in METAGENE-1 Table 3 (Gene-MTEB genomic embedding benchmark split) | 0.523 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNT-2.5b-Multi on Gene-MTEB genomic embedding benchmark HMPD-source: HMPD-source genomic embedding evaluation Frozen model last-hidden-state embeddings, mean pooled. Logistic regression for eight classification tasks and mini-batch k-means for eight clustering tasks. Source paper Section 5.3. Current official gene-mteb implementation corroborates task identities but its commit is not proven identical to the paper evaluator. Exact dataset release, split hash, scored counts and evaluator commit are unreported in the paper. Do not substitute current mutable HF main for the original split. Aggregation: Not reported METAGENE-1 v1: Gene-MTEB complete component tasks · Table 3 (S5.T3), row HMPD-source, column NT-2.5b-Multi; Section 5.3 paragraphs S5.SS3.p2.1 and S5.SS3.p3.1 |
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